负荷图展示了原始变量(如代谢物、基因表达等)对PLS-DA成分的贡献。每个点代表一个变量,其位置表示该变量在区分不同组别中的重要性。靠近图中心的变量对区分类别的贡献较小,而远离中心的变量则更为重要 3.VIP分数图(VIP Scores Plot): VIP(变量重要性在投影中)分数是衡量变量在PLS-DA模型中重要性的一个指标。
VIP ( Variable Importance in Projection scores )变量重要性投影, 通过变量投影重要度衡量各代谢物组分含量对样本分类判别的影响强度和解释能力,辅助标志代谢物的筛选。通常以VIP值>1作为筛选标准。 交叉验证:R2是相关性系数,表示这个模型的拟合性好不好,是一个定量的测量(范围0-1),意味着所建立的模型能在多大程...
PLS-DA cross-validation, performance and protein VIP scores.doi:10.1371/journal.pone.0103030.g004S. PasqualeTrerotola MarcoUrbanella AndreaLattanzio RossanoCiavardelli DomenicoD. FabrizioEleuterio EnricaSulpizio MarilisaE. VincenzoP. Annalisa
1 Scores plot of PCA(a) and PLS-DA (b)2.2 重要理化成分分析结合 PCA 载荷图( Loadings plot )和 PLS-DA 变量重要性因子(Variable important for the projection,VIP)分布图分析,找出对 晒青毛茶级别分类重要的理化成分。PCA 载 荷图(图 3)表明理化成分的分布情况,其分 布情况与 PCA 得分图(图 1-a)...
o2plsda软件包说明书 Package‘o2plsda’October14,2022 Type Package Title Multiomics Data Integration Version0.0.18 Description Provides functions to do'O2PLS-DA'analysis for multiple omics data integration.The algorithm came from``O2-PLS,a two- block(X±Y)latent variable regression(LVR)method ...
负荷图展示了原始变量（如代谢物、基因表达等）对PLS-DA成分的贡献。每个点代表一个变量，其位置表示该变量在区分不同组别中的重要性。靠近图中心的变量对区分类别的贡献较小，而远离中心的变量则更为重要 3.VIP分数图（VIP Scores Plot）：VIP（变量重要性在投影中）分数是衡量变量在PLS-DA模型中...
Important features identified by PLS-DA and VIP scores.doi:10.1371/journal.pone.0080940.g004B. PriyankaG. SanghamitraDutta MainakS. ElavarasanK. JaydeepR. SouravChakravarty BaidyanathC. Koel
The VIP scores allowed identifying important variables involved in class modeling. This study suggests a methodology that is fast and demands minimal sample preparation (only dilution), besides being less expensive compared to the traditional methods, free of reagent/solvent, contributing to quality ...
Meanwhile, samples A, B, C, D, F, G could be further differentiated on the basis of PLS component 2 scores, where samples A, B and D were clustered on the positive side, while samples C, F and G were clustered on the negative side. The corresponding loading plot (Figure 3) showed...